Acceptability and feasibility of mobile phone-based ecological momentary assessment and intervention in Uganda: A pilot randomized controlled trial.

Acceptability and feasibility of mobile phone-based ecological momentary assessment and intervention in Uganda: A pilot randomized controlled trial.
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DOI:
10.1371/journal.pone.0273228
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
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--
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有效、可靠的行为数据和有意义的干预措施对于改善健康结果是必要的。生态瞬时评估和干预(EMAI),它收集数据的行为发生提供实时干预,可能比回顾性方法更准确和可靠。移动的技术在低收入和中等收入国家的迅速发展为远程数据收集和干预提供了前所未有的机会。然而,以前的研究没有在撒哈拉以南非洲试用EMAI。我们评估了EMAI的可接受性和可行性,包括参与者的保留率和应答率,在乌干达Rakai进行的一项前瞻性、平行组、随机试点试验中,比较了提交生态瞬时评估(EMA)与EMAI的成年人的行为结果。培训结束后,参与者使用基于智能手机的应用程序提交了90天内关于五种营养和健康风险行为的EMA数据,该应用程序利用基于智能手机的,参与者发起的和地理空间坐标数据收集,并获得研究协调员的支持和奖励,以>50%完成。包括的行为和相关的EMAI手臂干预消息被选择来试验一系列EMAI应用。可接受性通过问卷调查来衡量。我们估计了高响应率和参与者特征之间的关联,并对参与者的经历进行了专题分析。研究完成率为48/50。中位即时应答率为66.5%(IQR:60.0%-78.6%)。基线时既往使用智能手机应用程序(aPR 3.76,95%CI:1.16-12.17,p = 0.03)和干预组(aPR 2.55,95%CI:1.01-6.44,p = 0.05)与最高应答率四分位数(对>78.6%提示的应答)显著相关。所有参与者都提交了自我发起的报告,涵盖了所有感兴趣的行为,包括潜在的敏感行为。手机充电不一致是报告最多的可行性挑战。在该试点中,EMAI是可接受的和可行的。答复率很高;应调查其他战略以提高遵守情况。使用移动的技术的EMAI可以支持改进低收入和中等收入环境中的行为数据收集和干预方法。这种方法应该在更大的研究中进行测试。
Valid, reliable behavioral data and contextually meaningful interventions are necessary for improved health outcomes. Ecological Momentary Assessment and Intervention (EMAI), which collects data as behaviors occur to deliver real-time interventions, may be more accurate and reliable than retrospective methods. The rapid expansion of mobile technologies in low-and-middle-income countries allows for unprecedented remote data collection and intervention opportunities. However, no previous studies have trialed EMAI in sub-Saharan Africa. We assessed EMAI acceptability and feasibility, including participant retention and response rate, in a prospective, parallel group, randomized pilot trial in Rakai, Uganda comparing behavioral outcomes among adults submitting ecological momentary assessments (EMA) versus EMAI. After training, participants submitted EMA data on five nutrition and health risk behaviors over a 90-day period using a smartphone-based application utilizing prompt-based, participant-initiated, and geospatial coordinate data collection, with study coordinator support and incentives for >50% completion. Included behaviors and associated EMAI-arm intervention messages were selected to pilot a range of EMAI applications. Acceptability was measured on questionnaires. We estimated the association between high response rate and participant characteristics and conducted thematic analysis characterizing participant experiences. Study completion was 48/50 participants. Median prompt response rate was 66.5% (IQR: 60.0%-78.6%). Prior smartphone app use at baseline (aPR 3.76, 95%CI: 1.16–12.17, p = 0.03) and being in the intervention arm (aPR 2.55, 95% CI: 1.01–6.44, p = 0.05) were significantly associated with the top response rate quartile (response to >78.6% of prompts). All participants submitted self-initiated reports, covering all behaviors of interest, including potentially sensitive behaviors. Inconsistent phone charging was the most reported feasibility challenge. In this pilot, EMAI was acceptable and feasible. Response rates were good; additional strategies to improve compliance should be investigated. EMAI using mobile technologies may support improved behavioral data collection and intervention approaches in low and middle-income settings. This approach should be tested in larger studies.
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DOI: 10.1056/nejmoa1702150
发表时间: 2017-11-30
期刊: The New England journal of medicine
影响因子: --
作者:
Grabowski MK;Serwadda DM;Gray RH;Nakigozi G;Kigozi G;Kagaayi J;Ssekubugu R;Nalugoda F;Lessler J;Lutalo T;Galiwango RM;Makumbi F;Kong X;Kabatesi D;Alamo ST;Wiersma S;Sewankambo NK;Tobian AAR;Laeyendecker O;Quinn TC;Reynolds SJ;Wawer MJ;Chang LW;Rakai Health Sciences Program
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